wangyum commented on a change in pull request #31691: URL: https://github.com/apache/spark/pull/31691#discussion_r594894141
########## File path: sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/LimitPushdownThroughWindowSuite.scala ########## @@ -0,0 +1,190 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.optimizer + +import org.apache.spark.sql.Row +import org.apache.spark.sql.catalyst.dsl.expressions._ +import org.apache.spark.sql.catalyst.dsl.plans._ +import org.apache.spark.sql.catalyst.expressions.{CurrentRow, Rank, RowFrame, RowNumber, SpecifiedWindowFrame, UnboundedPreceding} +import org.apache.spark.sql.catalyst.plans._ +import org.apache.spark.sql.catalyst.plans.logical._ +import org.apache.spark.sql.catalyst.rules._ +import org.apache.spark.sql.internal.SQLConf + +class LimitPushdownThroughWindowSuite extends PlanTest { + // CollapseProject and RemoveNoopOperators is needed because we need it to collapse project. + private val limitPushdownRules = Seq( + CollapseProject, + RemoveNoopOperators, + LimitPushDownThroughWindow, + EliminateLimits, + ConstantFolding, + BooleanSimplification) + + private object Optimize extends RuleExecutor[LogicalPlan] { + val batches = + Batch("Limit pushdown through window", FixedPoint(100), + limitPushdownRules: _*) :: Nil + } + + private object WithoutOptimize extends RuleExecutor[LogicalPlan] { + val batches = + Batch("Without limit pushdown through window", FixedPoint(100), + limitPushdownRules + .filterNot(_.ruleName.equals(LimitPushDownThroughWindow.ruleName)): _*) :: Nil + } + + private val testRelation = LocalRelation.fromExternalRows( + Seq("a".attr.int, "b".attr.int, "c".attr.int), + 1.to(6).map(_ => Row(1, 2, 3))) + + private val a = testRelation.output(0) + private val b = testRelation.output(1) + private val c = testRelation.output(2) + private val windowFrame = SpecifiedWindowFrame(RowFrame, UnboundedPreceding, CurrentRow) + + test("Push down limit through window when partitionSpec is empty") { + val originalQuery = testRelation + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) + .limit(2) + val correctAnswer = testRelation + .select(a, b, c) + .orderBy(c.desc) + .limit(2) + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) + + comparePlans( + Optimize.execute(originalQuery.analyze), + WithoutOptimize.execute(correctAnswer.analyze)) + } + + test("Push down limit through window for multiple window functions") { + val originalQuery = testRelation + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn"), + windowExpr(new Rank(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rk")) + .limit(2) + val correctAnswer = testRelation + .select(a, b, c) + .orderBy(c.desc) + .limit(2) + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn"), + windowExpr(new Rank(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rk")) + + comparePlans( + Optimize.execute(originalQuery.analyze), + WithoutOptimize.execute(correctAnswer.analyze)) + } + + test("Push down limit through window respect spark.sql.execution.topKSortFallbackThreshold") { + Seq(1, 100).foreach { threshold => + withSQLConf(SQLConf.TOP_K_SORT_FALLBACK_THRESHOLD.key -> threshold.toString) { + val originalQuery = testRelation + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) + .limit(2) + val correctAnswer = if (threshold == 1) { + originalQuery + } else { + testRelation + .select(a, b, c) + .orderBy(c.desc) + .limit(2) + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, c.desc :: Nil, windowFrame)).as("rn")) + } + + comparePlans( + Optimize.execute(originalQuery.analyze), + WithoutOptimize.execute(correctAnswer.analyze)) + } + } + } + + test("Push down to first window if order column is different") { + val originalQuery = testRelation + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn"), + windowExpr(new Rank(), windowSpec(Nil, c.asc :: Nil, windowFrame)).as("rk")) + .limit(2) + val correctAnswer = testRelation + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn")) + .orderBy(c.asc) + .limit(2) + .select(a, b, c, $"rn".attr, + windowExpr(new Rank(), windowSpec(Nil, c.asc :: Nil, windowFrame)).as("rk")) + + comparePlans( + Optimize.execute(originalQuery.analyze), + WithoutOptimize.execute(correctAnswer.analyze)) + } + + test("Push down if there is a Project between LocalLimit and Window") { + val originalQuery = testRelation + .select(a, b, + windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn")) + .select(a, $"rn".attr) + .limit(2) + val correctAnswer = testRelation + .select(a, b) + .orderBy(b.desc) + .limit(2) + .select(a, windowExpr(RowNumber(), windowSpec(Nil, b.desc :: Nil, windowFrame)).as("rn")) + + comparePlans( + Optimize.execute(originalQuery.analyze), + WithoutOptimize.execute(correctAnswer.analyze)) + } + + test("Should not push down if partitionSpec is not empty") { + val originalQuery = testRelation + .select(a, b, c, + windowExpr(RowNumber(), windowSpec(a :: Nil, c.desc :: Nil, windowFrame)).as("rn")) + .limit(20) Review comment: Good catch. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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